F.A. Mussa-Ivaldi

715 citations
13 papers · 492 · h-index 8

Impact in

Papers in

F.A. Mussa-Ivaldi

13 papers receiving 471 citations

Peers

F.A. Mussa-Ivaldi
Comparison fields: 5 of 49
  • Cognitive Neuroscience 380
  • Physical Therapy, Sports Therapy and Rehabilitation 59
  • Rehabilitation 41
  • Biomedical Engineering 279
  • Neurology 49
Replace Mauro Carrozzo with:
Mauro Carrozzo Italy
Marco Favilla Italy
Tomohiko Takei Japan
Ronald Raymond Riso Denmark
S.F. Giszter United States
Max Berniker United States
Christopher D. Mah United States
Masazumi Katayama Japan
S. Watts Canada
Mohammad Darainy Canada
F.A. Mussa-Ivaldi relative to Mauro Carrozzo Italy Mauro Carrozzo's profile →
Citations per field
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Mauro Carrozzo · 1×
Citations per year

Countries citing papers authored by F.A. Mussa-Ivaldi

Since Specialization
Citations

This map shows the geographic impact of F.A. Mussa-Ivaldi's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by F.A. Mussa-Ivaldi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites F.A. Mussa-Ivaldi more than expected).

Fields of papers citing papers by F.A. Mussa-Ivaldi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by F.A. Mussa-Ivaldi. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by F.A. Mussa-Ivaldi. The network helps show where F.A. Mussa-Ivaldi may publish in the future.

Co-authors

The 15 scholars most cited alongside F.A. Mussa-Ivaldi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with F.A. Mussa-Ivaldi Line = papers co-authored together F.A. Mussa-Ivaldi links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 1990216
2 2002114
3 200239
4 200235
5 201134
6 201225
7 199111
8
Muscle properties and the control of arm movements
19908
9 19864
10 20022
11 20032
12 20091
13 20021

About F.A. Mussa-Ivaldi

F.A. Mussa-Ivaldi is a scholar working on Control and Systems Engineering, Cognitive Neuroscience, Biomedical Engineering, Social Psychology and Computer Vision and Pattern Recognition, having authored 13 papers that have together received 492 indexed citations. Recurring topics across this work include Motor Control and Adaptation (8 papers), Robot Manipulation and Learning (8 papers), Muscle activation and electromyography studies (6 papers), Tactile and Sensory Interactions (3 papers), Robotic Path Planning Algorithms (2 papers), Action Observation and Synchronization (2 papers), Machine Learning and Algorithms (1 paper) and Robotic Mechanisms and Dynamics (1 paper). The work is most often cited by research in Cognitive Neuroscience (380 citations), Physical Therapy, Sports Therapy and Rehabilitation (59 citations), Rehabilitation (41 citations), Biomedical Engineering (279 citations) and Neurology (49 citations). F.A. Mussa-Ivaldi has collaborated with scholars based in United States, Philippines and Italy. Frequent co-authors include Tamar Flash, Amir Karniel, James L. Patton, Zachary C. Danziger, Simon F. Giszter, Ayelet Fishbach, Emilio Bizzi, Maura Casadio, Assaf Pressman and Pietro Morasso. Their work appears in journals such as Experimental Brain Research, Journal of Neuroscience, PubMed and MIT Press eBooks.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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